MODEL DESIGN OF RISK ANALYSIS IN THE ESTABLISHMENT OF THE SOFTWARE DEVELOPMENT PROJECT TEAM USING GRAY RELATIONAL ANALYSIS
Most software development projects face risks in the entire development process. Software development projects are vulnerable to the risk of failure, which impacts on software quality, project schedules and costs. Risks can occur in each phase of the software development process (SDLC). Human res...
Saved in:
Main Author: | |
---|---|
Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/39827 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Most software development projects face risks in the entire development process. Software
development projects are vulnerable to the risk of failure, which impacts on software quality,
project schedules and costs. Risks can occur in each phase of the software development process
(SDLC). Human resources are one of the factors causing project failure, because human
resources are involved in all phases of software development. Selection of the right team
members in software project development can reduce the failure rate of software projects. In
developing a software project both in determining the project team, risk management is
important. Risks are usually only assessed from the external environment, while the risks from
the internal environment are often overlooked.
Therefore, risk analysis for the formation of a systematic project team is the right way to assist in
team decision making. This research aims to develop a new approach in the selection of project
teams by analyzing risk using Analytical Hierarchy Process (AHP) and Gray Relational Analysis
(GRA). AHP is used to calculate each weight of the identified risk, where the weighting for each
factor is determined by the experts and GRA to identify the candidate team's relationship with
the risks and opportunities for the risk of the team.
The result of this research is a model of software project team formation with risk analysis. In
this study also built a system that can integrate all processes in the model to provide the right
team recommendations. The system is expected to help decision makers. From the evaluation
results, the value of Mean Absolute Error produced decreased 0,899 from 1,865 to 0,966. |
---|